National Healthcare Quality and Disparities Report
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Topics
- Adverse Drug Events (ADE) (6)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
101 to 125 of 174 Research Studies DisplayedPlasek JM, Goss FR, Lai KH
Food entries in a large allergy data repository.
This study examined, encoded, and grouped foods that caused any adverse sensitivity in a large allergy repository using natural language processing and standard terminologies. It identified 158,552 food allergen records (2,140 unique terms) in the Partners repository, corresponding to 672 food allergen concepts. High-frequency groups included shellfish (19.3 percent), fruits or vegetables (18.4 percent), dairy (9.0 percent), and peanuts (8.5 percent).
AHRQ-funded; HS022728.
Citation: Plasek JM, Goss FR, Lai KH .
Food entries in a large allergy data repository.
J Am Med Inform Assoc 2016 Apr;23(e1):e79-87. doi: 10.1093/jamia/ocv128.
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Keywords: Data, Health Information Technology (HIT), Electronic Health Records (EHRs), Patient Safety
Jafarzadeh SR, Warren DK, Nickel KB
Bayesian estimation of the accuracy of ICD-9-CM- and CPT-4-based algorithms to identify cholecystectomy procedures in administrative data without a reference standard.
The researchers sought to estimate the accuracy of two algorithms to identify cholecystectomy procedures using ICD-9-CM and CPT-4 codes in administrative data. They found that both ICD-9-CM- and CPT-4-based algorithms had high sensitivity to identify cholecystectomy procedures in administrative data when used individually and especially in a parallel-joint approach.
AHRQ-funded; HS019713.
Citation: Jafarzadeh SR, Warren DK, Nickel KB .
Bayesian estimation of the accuracy of ICD-9-CM- and CPT-4-based algorithms to identify cholecystectomy procedures in administrative data without a reference standard.
Pharmacoepidemiol Drug Saf 2016 Mar;25(3):263-8. doi: 10.1002/pds.3870.
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Keywords: Data, Surgery
Liu L, Huang X, Yaroshinsky A
Joint frailty models for zero-inflated recurrent events in the presence of a terminal event.
The authors proposed two joint frailty models for zero-inflated recurrent events in the presence of a terminal event, combining a logistic model for "structural zero" status and a joint frailty proportional hazards model for recurrent and terminal event times. They applied the two methods to model recurrent opportunistic diseases in the presence of death in an AIDS study and tumor recurrences and a terminal event in a sarcoma study.
AHRQ-funded; HS020263.
Citation: Liu L, Huang X, Yaroshinsky A .
Joint frailty models for zero-inflated recurrent events in the presence of a terminal event.
Biometrics 2016 Mar;72(1):204-14. doi: 10.1111/biom.12376.
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Keywords: Cancer, Data, Research Methodologies
Wang SV, Verpillat P, Rassen JA
Transparency and reproducibility of observational cohort studies using large healthcare databases.
The researchers explored the extent to which published pharmacoepidemiologic studies using commercially available databases could be reproduced by other investigators. Based on a nonsystematic sample of 38 descriptive or comparative safety/effectiveness cohort studies, they concludedc that an essential component of transparent and reproducible databases is more complete reporting of study implementation.
AHRQ-funded; HS022193.
Citation: Wang SV, Verpillat P, Rassen JA .
Transparency and reproducibility of observational cohort studies using large healthcare databases.
Clin Pharmacol Ther 2016 Mar;99(3):325-32. doi: 10.1002/cpt.329..
Keywords: Health Information Technology (HIT), Data, Research Methodologies, Comparative Effectiveness
Hsu D, Brieva J, Nardone B
Validation of database search strategies for the epidemiological study of pemphigus and pemphigoid.
The authors hypothesized that the assigned ICD-9-CM codes of 694.4 (pemphigus) and 694.5 (pemphigoid) would demonstrate a high predictive value for the confirmed diagnosis of their respective diseases. Their results did not support the hypothesis that a single ICD-9-CM code for pemphigus and pemphigoid is sufficient to identify these disorders in largescale epidemiological studies.
AHRQ-funded; HS023011.
Citation: Hsu D, Brieva J, Nardone B .
Validation of database search strategies for the epidemiological study of pemphigus and pemphigoid.
Br J Dermatol 2016 Mar;174(3):645-8. doi: 10.1111/bjd.14172.
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Keywords: Data, Electronic Health Records (EHRs), Health Information Technology (HIT)
Grenda TR, Krell RW, Dimick JB
Reliability of hospital cost profiles in inpatient surgery.
This study sought to discover whether Medicare payments for surgery can reliably compare hospital costs. It found that episode payments for inpatient surgery are a reliable measure of hospital costs for commonly performed procedures, but are less reliable for lower volume operations. These findings suggest that hospital cost profiles based on Medicare claims data may be used to benchmark efficiency, especially for more common procedures.
AHRQ-funded; HS000053.
Citation: Grenda TR, Krell RW, Dimick JB .
Reliability of hospital cost profiles in inpatient surgery.
Surgery 2016 Feb;159(2):375-80. doi: 10.1016/j.surg.2015.06.043..
Keywords: Inpatient Care, Surgery, Healthcare Costs, Medicare, Data
Marshall DA, Burgos-Liz L, Pasupathy KS
Transforming healthcare delivery: integrating dynamic simulation modelling and big data in health economics and outcomes research.
The authors discussed the synergies between big data and dynamic simulation modelling (DSM), practical considerations and challenges, and how integrating big data and DSM can be useful to decision makers to address complex, systemic health economics and outcomes questions and to transform healthcare delivery.
AHRQ-funded; HS023710.
Citation: Marshall DA, Burgos-Liz L, Pasupathy KS .
Transforming healthcare delivery: integrating dynamic simulation modelling and big data in health economics and outcomes research.
Pharmacoeconomics 2016 Feb;34(2):115-26. doi: 10.1007/s40273-015-0330-7.
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Keywords: Data, Decision Making, Healthcare Delivery, Patient-Centered Healthcare, Patient-Centered Outcomes Research
Bakken S, Reame N
The promise and potential perils of big data for advancing symptom management research in populations at risk for health disparities.
The purposes of this chapter are to (a) briefly summarize the current drivers for the use of big data in research; (b) describe the promise of big data and associated data science methods for advancing symptom management research; and (c) explicate the potential perils of big data and data science from the perspective of the ethical principles of autonomy, beneficence, and justice.
AHRQ-funded; HS022961.
Citation: Bakken S, Reame N .
The promise and potential perils of big data for advancing symptom management research in populations at risk for health disparities.
Annu Rev Nurs Res 2016;34:247-60. doi: 10.1891/0739-6686.34.247..
Keywords: Disparities, Data, Patient-Centered Outcomes Research, Registries
Hartling L, Guise JM, Kato E
AHRQ Author: Kato, E, Berliner E
A taxonomy of rapid reviews links report types and methods to specific decision-making contexts.
The researchers described characteristics of rapid reviews and examined the impact of methodological variations on their reliability and validity. They concluded that rapid products have tremendous methodological variation and that categorization based on timeframe or type of synthesis reveals patterns. The similarity across rapid products lies in the close relationship with the end user to meet time-sensitive decision-making needs.
AHRQ-authored; AHRQ-funded; 290201200013I; 290201200010I; 290201200011I; 290201200015I; 290201200007I; 290201200004C.
Citation: Hartling L, Guise JM, Kato E .
A taxonomy of rapid reviews links report types and methods to specific decision-making contexts.
J Clin Epidemiol 2015 Dec;68(12):1451-62.e3. doi: 10.1016/j.jclinepi.2015.05.036.
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Keywords: Decision Making, Evidence-Based Practice, Data, Research Methodologies
Kuehl DR, Berdahl CT, Jackson TD
Advancing the use of administrative data for emergency department diagnostic imaging research.
This article summarizes the discussions of the breakout session on the use of administrative data for emergency imaging research at the May 2015 Academic Emergency Medicine consensus conference, "Diagnostic Imaging in the Emergency Department: A Research Agenda to Optimize Utilization." The authors describe the areas where administrative data have been applied to research evaluating the use of diagnostic imaging in the ED, the common sources for these data, and the strengths and limitations of administrative data.
AHRQ-funded; HS023498.
Citation: Kuehl DR, Berdahl CT, Jackson TD .
Advancing the use of administrative data for emergency department diagnostic imaging research.
Acad Emerg Med 2015 Dec;22(12):1417-26. doi: 10.1111/acem.12827.
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Keywords: Data, Emergency Department, Health Services Research (HSR), Imaging
Liang C, Gong Y
Enhancing patient safety event reporting by K-nearest neighbor classifier.
The debate on structured or unstructured data entry reveals not only a trade-off problem among data accuracy, completeness, and timeliness, but also a technical gap on text mining. The reesarchers suggested a text classification method for predicting subject categories. Their results demonstrated the feasibility of their system and indicated the advantage of such an application to raise data quality and clinical decision support in reporting patient safety events.
AHRQ-funded; HS022895.
Citation: Liang C, Gong Y .
Enhancing patient safety event reporting by K-nearest neighbor classifier.
Stud Health Technol Inform 2015;218:40603.
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Keywords: Adverse Events, Medical Errors, Patient Safety, Public Reporting, Clinical Decision Support (CDS), Health Information Technology (HIT), Data
Swain MJ, Kharrazi H
Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.
The researchers conducted a semi-systematic review of readmission predictive factors published prior to March 2013. They found that mapping of these variables with common HL7 segments resulted in an 89.2 percent total coverage, with the DG1 (diagnosis) segment having the highest coverage of 39.4 percent. The PID (patient identification) and OBX (observation results) segments cover 13.9 percent and 9.1 percent of the variables.
AHRQ-funded; HS022578.
Citation: Swain MJ, Kharrazi H .
Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.
Int J Med Inform 2015 Dec;84(12):1048-56. doi: 10.1016/j.ijmedinf.2015.09.003.
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Keywords: Health Information Exchange (HIE), Hospital Readmissions, Health Information Technology (HIT), Data
Neprash HT, Wallace J, Chernew ME
Measuring prices in health care markets using commercial claims data.
The objective of this study was to compare methods of price measurement in health care markets. It concluded that market-level price measures reflecting broad sets of services are likely to rank markets similarly. Price indices relying on individual sentinel services may be more appropriate for examining specialty- or service-specific drivers of prices.
AHRQ-funded; HS000055.
Citation: Neprash HT, Wallace J, Chernew ME .
Measuring prices in health care markets using commercial claims data.
Health Serv Res 2015 Dec;50(6):2037-47. doi: 10.1111/1475-6773.12304..
Keywords: Data, Healthcare Costs, Health Insurance, Health Services Research (HSR)
Panahiazar M, Taslimitehrani V, Pereira NL
Using EHRs for heart failure therapy recommendation using multidimensional patient similarity analytics.
The authors developed a multidimensional patient similarity assessment technique that leverages multiple types of information from the electronic health records and predicts a medication plan for each new patient based on prior knowledge and data from similar patients.Their findings suggest that it is feasible to harness population-based information for an individual patient-specific assessment.
AHRQ-funded; HS023077.
Citation: Panahiazar M, Taslimitehrani V, Pereira NL .
Using EHRs for heart failure therapy recommendation using multidimensional patient similarity analytics.
Stud Health Technol Inform 2015;210:369-73.
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Keywords: Clinical Decision Support (CDS), Data, Electronic Health Records (EHRs), Heart Disease and Health, Patient-Centered Healthcare
Zhang R, Manohar N, Arsoniadis E
Evaluating term coverage of herbal and dietary supplements in electronic health records.
Some supplements can interact with prescription medications, potentially leading to clinically important and potentially preventable adverse reactions. Clinical notes and corresponding medication lists from an integrated healthcare system were extracted and compared with online databases. The authors found that, overall, about 40% of listed medications are supplements, most of which are included in medication lists as nutritional or miscellaneous products. They found gaps between supplement and standard medication terminologies and identified supplements which were not mentioned in the medication lists.
AHRQ-funded; HS022085.
Citation: Zhang R, Manohar N, Arsoniadis E .
Evaluating term coverage of herbal and dietary supplements in electronic health records.
AMIA Annu Symp Proc 2015 Nov 5;2015:1361-70.
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Keywords: Adverse Drug Events (ADE), Data, Electronic Health Records (EHRs), Medication, Vitamins and Supplements
Meeker D, Jiang X, Matheny ME
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.
The authors’ objective was to implement infrastructure that supports the functionality of some existing research networks (e.g., cohort discovery, workflow management, and estimation of multivariate analytic models on centralized data) while adding additional important new features. They were able to implement massively parallel (map-reduce) computation methods and a new policy management system to enable each study initiated by network participants to define the ways in which data may be processed, managed, queried, and shared.
AHRQ-funded; HS019913.
Citation: Meeker D, Jiang X, Matheny ME .
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.
J Am Med Inform Assoc 2015 Nov;22(6):1187-95. doi: 10.1093/jamia/ocv017..
Keywords: Communication, Comparative Effectiveness, Data, Health Information Technology (HIT), Policy, Research Methodologies
Bhattacharyya S, Gesteland PH, Korgenski K
Cross-immunity between strains explains the dynamical pattern of paramyxoviruses.
The researchers used long-term incidence data on Respiratory Syncytial Virus (RSV), three serotypes of Human Parainfluenza Virus (HPIV), and Human Metapneumovirus to study mathematical models of different mechanisms of pathogen interaction. Their results showed a strong signal of cross-protection from RSV in controlling the timing and magnitude of HPIV outbreaks, and a stronger interaction with more closely related serotypes.
AHRQ-funded; HS018538.
Citation: Bhattacharyya S, Gesteland PH, Korgenski K .
Cross-immunity between strains explains the dynamical pattern of paramyxoviruses.
Proc Natl Acad Sci U S A 2015 Oct 27;112(43):13396-400. doi: 10.1073/pnas.1516698112..
Keywords: Data, Public Health, Respiratory Conditions
Haukoos JS, Lewis RJ
The propensity score.
The authors discuss studies by Rozé et al and Huybrechts et al that used propensity score matching and propensity score stratification, respectively. They argue that although both methods are more valid in terms of balancing study groups than simple matching or stratification based on baseline characteristics, they vary in their ability to minimize bias. In general, propensity score matching minimizes bias to a greater extent than propensity score stratification.
AHRQ-funded; HS021749.
Citation: Haukoos JS, Lewis RJ .
The propensity score.
JAMA 2015 Oct 20;314(15):1637-8. doi: 10.1001/jama.2015.13480..
Keywords: Research Methodologies, Data, Risk
Hazlehurst BL, Kurtz SE, Masica A
CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinical data.
The authors describe the CER Hub, a web-based informatics platform for developing and conducting research studies that combine comprehensive electronic clinical data from multiple health care organizations. They conclude that CER requires coordinated and scalable methods for extracting, aggregating, and analyzing complex, multi-institutional clinical data.
AHRQ-funded; HS019828.
Citation: Hazlehurst BL, Kurtz SE, Masica A .
CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional, heterogeneous, electronic clinical data.
Int J Med Inform 2015 Oct;84(10):763-73. doi: 10.1016/j.ijmedinf.2015.06.002..
Keywords: Comparative Effectiveness, Health Information Technology (HIT), Data, Web-Based
Chien AT, Kuhlthau KA, Toomey SL
Development of the children with disabilities algorithm.
The researchers developed the Children with Disabilities algorithm (CWDA), which uses International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes to identify CWD. They concluded that ICD-9-CM codes can be classified by their likelihood of indicating CWD. CWDA triangulates well with parent report and physician assessment of child disability status. CWDA is a new tool that can be used to assess care quality for CWD.
AHRQ-funded; HS020513.
Citation: Chien AT, Kuhlthau KA, Toomey SL .
Development of the children with disabilities algorithm.
Pediatrics 2015 Oct;136(4):e871-8. doi: 10.1542/peds.2015-0228..
Keywords: Children/Adolescents, Quality of Care, Data, Children/Adolescents
Price LE, Shea K, Gephart S
The Veterans Affairs's Corporate Data Warehouse: uses and implications for nursing research and practice.
This article described the developments in research associated with the VHA's transition into the world of Big Data analytics through Corporate Data Warehouse (CDW) utilization. The authors found that the most commonly-occurring research topics are pharmacy/medications, systems issues, and weight management/obesity. They concluded that, despite the potential benefit of data mining techniques to improve patient care and services, the CDW and alternative analytical approaches are underutilized by researchers and clinicians.
AHRQ-funded; HS022908.
Citation: Price LE, Shea K, Gephart S .
The Veterans Affairs's Corporate Data Warehouse: uses and implications for nursing research and practice.
Nurs Adm Q 2015 Oct-Dec;39(4):311-8. doi: 10.1097/naq.0000000000000118.
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Keywords: Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing
Wang C, Dominici F, Parmigiani G
Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models.
The authors propose and evaluate a Bayesian method to estimate average causal effects in studies with a large number of potential confounders, relatively few observations, likely interactions between confounders and the exposure of interest, and uncertainty on which confounders and interaction terms should be included. Their method is applicable across all exposures and outcomes that can be handled through generalized linear models.
AHRQ-funded; HS021991.
Citation: Wang C, Dominici F, Parmigiani G .
Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models.
Biometrics 2015 Sep;71(3):654-65. doi: 10.1111/biom.12315.
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Keywords: Data, Research Methodologies
Brennan PF, Bakken S
Nursing needs big data and big data needs nursing.
Nursing science and nursing practice has much to gain from the data science initiatives. Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing’s Social Policy Statement provides a principled, ethical perspective on big data and data science.
AHRQ-funded; HS022961; HS02254.
Citation: Brennan PF, Bakken S .
Nursing needs big data and big data needs nursing.
J Nurs Scholarsh 2015 Sep;47(5):477-84. doi: 10.1111/jnu.12159..
Keywords: Nursing, Data, Health Information Technology (HIT)
Deyo RA, Bryan M, Comstock BA
Trajectories of symptoms and function in older adults with low back disorders.
The researchers sought to determine whether there are distinct trajectories of back pain and function among older adults and to identify characteristics that distinguish among patients with substantially different prognoses. They found that, although most patients remained relatively stable over a year, latent class analysis identified small groups with major improvement in pain, function, or both.
AHRQ-funded; HS019222.
Citation: Deyo RA, Bryan M, Comstock BA .
Trajectories of symptoms and function in older adults with low back disorders.
Spine 2015 Sep 1;40(17):1352-62. doi: 10.1097/brs.0000000000000975.
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Keywords: Data, Elderly, Back Health and Pain, Chronic Conditions, Outcomes
van Mourik MS, van Duijn PJ, Moons KG
Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.
The researchers conducted a systematic review evaluating the diagnostic accuracy of administrative data for the detection of HAI. They concluded that administrative data had limited and highly variable accuracy for the detection of HAI, and their judicious use for internal surveillance efforts and external quality assessment is recommended.
AHRQ-funded; HS018414.
Citation: van Mourik MS, van Duijn PJ, Moons KG .
Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.
BMJ Open 2015 Aug 27;5(8):e008424. doi: 10.1136/bmjopen-2015-008424..
Keywords: Healthcare-Associated Infections (HAIs), Data, Patient Safety, Quality of Care